Numerical Data Clustering Algorithms in Mining Real Estate Listings

In the paper, we propose a method for mining real-estate listings using clustering algorithms intended for numerical data. The presented approach is based on information systems over ontological graphs. Such information systems have been proposed to deal with data in the form of concepts linked by...

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Main Authors: Krzysztof Pancerz, Olga Mich
Format: Article
Language:English
Published: Akademia Zamojska 2015-01-01
Series:Barometr Regionalny
Subjects:
Online Access:https://czaz.akademiazamojska.edu.pl/index.php/br/article/view/1035
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author Krzysztof Pancerz
Olga Mich
author_facet Krzysztof Pancerz
Olga Mich
author_sort Krzysztof Pancerz
collection DOAJ
description In the paper, we propose a method for mining real-estate listings using clustering algorithms intended for numerical data. The presented approach is based on information systems over ontological graphs. Such information systems have been proposed to deal with data in the form of concepts linked by different semantic relations. A special attention is focused on preprocessing steps transforming advertisements in the textual form into information systems defined over ontological graphs, as well as on encoding attribute values for clustering algorithms.
format Article
id doaj-art-69ca2cc2055248eca26682e40d532e82
institution Kabale University
issn 2956-686X
language English
publishDate 2015-01-01
publisher Akademia Zamojska
record_format Article
series Barometr Regionalny
spelling doaj-art-69ca2cc2055248eca26682e40d532e822025-08-20T03:31:41ZengAkademia ZamojskaBarometr Regionalny2956-686X2015-01-0112310.56583/br.1035Numerical Data Clustering Algorithms in Mining Real Estate ListingsKrzysztof Pancerz0Olga Mich1University of Management and Administration in ZamośćUniversity of Management and Administration in Zamość In the paper, we propose a method for mining real-estate listings using clustering algorithms intended for numerical data. The presented approach is based on information systems over ontological graphs. Such information systems have been proposed to deal with data in the form of concepts linked by different semantic relations. A special attention is focused on preprocessing steps transforming advertisements in the textual form into information systems defined over ontological graphs, as well as on encoding attribute values for clustering algorithms. https://czaz.akademiazamojska.edu.pl/index.php/br/article/view/1035clusteringdata mininginformation systemsontological graphsreal-estate listings
spellingShingle Krzysztof Pancerz
Olga Mich
Numerical Data Clustering Algorithms in Mining Real Estate Listings
Barometr Regionalny
clustering
data mining
information systems
ontological graphs
real-estate listings
title Numerical Data Clustering Algorithms in Mining Real Estate Listings
title_full Numerical Data Clustering Algorithms in Mining Real Estate Listings
title_fullStr Numerical Data Clustering Algorithms in Mining Real Estate Listings
title_full_unstemmed Numerical Data Clustering Algorithms in Mining Real Estate Listings
title_short Numerical Data Clustering Algorithms in Mining Real Estate Listings
title_sort numerical data clustering algorithms in mining real estate listings
topic clustering
data mining
information systems
ontological graphs
real-estate listings
url https://czaz.akademiazamojska.edu.pl/index.php/br/article/view/1035
work_keys_str_mv AT krzysztofpancerz numericaldataclusteringalgorithmsinminingrealestatelistings
AT olgamich numericaldataclusteringalgorithmsinminingrealestatelistings